語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
A Framework for Indoor Air Quality S...
~
Sharma, Himanshu.
FindBook
Google Book
Amazon
博客來
A Framework for Indoor Air Quality Sensor Placement Accounting for Uncertainties and Performing Risk Assessments.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A Framework for Indoor Air Quality Sensor Placement Accounting for Uncertainties and Performing Risk Assessments./
作者:
Sharma, Himanshu.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
169 p.
附註:
Source: Dissertations Abstracts International, Volume: 81-03, Section: B.
Contained By:
Dissertations Abstracts International81-03B.
標題:
Mechanical engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13862603
ISBN:
9781085627405
A Framework for Indoor Air Quality Sensor Placement Accounting for Uncertainties and Performing Risk Assessments.
Sharma, Himanshu.
A Framework for Indoor Air Quality Sensor Placement Accounting for Uncertainties and Performing Risk Assessments.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 169 p.
Source: Dissertations Abstracts International, Volume: 81-03, Section: B.
Thesis (Ph.D.)--Iowa State University, 2019.
This item is not available from ProQuest Dissertations & Theses.
Monitoring and maintaining air quality in a built environment is essential for occupants health and safety. An indoor environment is subjected to various particulate, gaseous matter etc. Exposure to these contaminants can result in various health problems such as asthma, skin diseases and in some case cancer. Therefore indoor air quality monitoring sensors are important for early detection of these contaminants. An indoor contaminant is transported via the airflow. Various building uncertainties affect the airflow. Therefore it is important to account these uncertainties for designing optimal sensor network. Further, in case of an accidental or intentional release of hazardous contaminants, the network should also assist for risk assessments such as after release contaminant source distribution and identifying source location. The purpose of this research is to develop a unified framework for designing an optimal contaminant monitoring sensor network accounting building uncertainties and develop a methodology for carrying risk assessment under hazardous contaminant release. The framework uses the discrete form of Perron-Frobenius (P-F) transfer operator to carry fast, accurate contaminant transport analysis. The work develops a methodology for accounting occupancy and weather uncertainties to designing the sensor network. Once constructed the P-F operator is also used with an Ensemble Kalman Filter (EnKF) estimator to estimate contaminant distribution using sensor measurement. Further, for identifying the release location a Bayesian inference method is developed using the constructed P-F operator. The developed framework can be used in developing strategies for people evacuation during toxic contaminant release containment of airborne infectious disease. It can also be integrated with it with the buildings to make smart HVAC systems.
ISBN: 9781085627405Subjects--Topical Terms:
649730
Mechanical engineering.
Subjects--Index Terms:
Perron-Frobenius transfer
A Framework for Indoor Air Quality Sensor Placement Accounting for Uncertainties and Performing Risk Assessments.
LDR
:03153nmm a2200373 4500
001
2272482
005
20201105110104.5
008
220629s2019 ||||||||||||||||| ||eng d
020
$a
9781085627405
035
$a
(MiAaPQ)AAI13862603
035
$a
AAI13862603
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Sharma, Himanshu.
$3
3549918
245
1 0
$a
A Framework for Indoor Air Quality Sensor Placement Accounting for Uncertainties and Performing Risk Assessments.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2019
300
$a
169 p.
500
$a
Source: Dissertations Abstracts International, Volume: 81-03, Section: B.
500
$a
Advisor: Ganapathysubramanian, Baskar;Vaidya, Umesh.
502
$a
Thesis (Ph.D.)--Iowa State University, 2019.
506
$a
This item is not available from ProQuest Dissertations & Theses.
506
$a
This item must not be sold to any third party vendors.
520
$a
Monitoring and maintaining air quality in a built environment is essential for occupants health and safety. An indoor environment is subjected to various particulate, gaseous matter etc. Exposure to these contaminants can result in various health problems such as asthma, skin diseases and in some case cancer. Therefore indoor air quality monitoring sensors are important for early detection of these contaminants. An indoor contaminant is transported via the airflow. Various building uncertainties affect the airflow. Therefore it is important to account these uncertainties for designing optimal sensor network. Further, in case of an accidental or intentional release of hazardous contaminants, the network should also assist for risk assessments such as after release contaminant source distribution and identifying source location. The purpose of this research is to develop a unified framework for designing an optimal contaminant monitoring sensor network accounting building uncertainties and develop a methodology for carrying risk assessment under hazardous contaminant release. The framework uses the discrete form of Perron-Frobenius (P-F) transfer operator to carry fast, accurate contaminant transport analysis. The work develops a methodology for accounting occupancy and weather uncertainties to designing the sensor network. Once constructed the P-F operator is also used with an Ensemble Kalman Filter (EnKF) estimator to estimate contaminant distribution using sensor measurement. Further, for identifying the release location a Bayesian inference method is developed using the constructed P-F operator. The developed framework can be used in developing strategies for people evacuation during toxic contaminant release containment of airborne infectious disease. It can also be integrated with it with the buildings to make smart HVAC systems.
590
$a
School code: 0097.
650
4
$a
Mechanical engineering.
$3
649730
650
4
$a
Applied mathematics.
$3
2122814
650
4
$a
Aeronomy.
$3
2102064
653
$a
Perron-Frobenius transfer
653
$a
Ensemble Kalman Filter
653
$a
Air quality
653
$a
Smart HVAC systems
690
$a
0548
690
$a
0364
690
$a
0367
710
2
$a
Iowa State University.
$b
Mechanical Engineering.
$3
1023689
773
0
$t
Dissertations Abstracts International
$g
81-03B.
790
$a
0097
791
$a
Ph.D.
792
$a
2019
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13862603
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9424716
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入